One-Year Changes in Bioelectrical Impedance Data in Adolescent Athletes

Author:

Cattem Marcus Vinícius de Oliveira1ORCID,Orsso Camila E.2ORCID,Gonzalez Maria Cristina3ORCID,Koury Josely Correa1ORCID

Affiliation:

1. Nutrition Institute, Rio de Janeiro State University, Rio de Janeiro 20550-013, Brazil

2. Human Nutrition Research Unit, Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2P5, Canada

3. Post-Graduate Program in Nutrition and Foods, Federal University of Pelotas, Pelotas 96010-610, Brazil

Abstract

Raw bioelectrical impedance (BI) data and vector analysis (BIVA) have been used to evaluate fat-free mass (FFM) cross-sectionally in adolescent athletes; however, there have been no longitudinal studies about it. This study aimed to assess the magnitude of changes in raw BI data (resistance [R], reactance [Xc], and phase angle [PhA]), BIVA, and FFM in adolescent athletes (n = 137, 40% female). BI data were collected using a single-frequency device at baseline and after one year of sports practice. Baseline chronological age categorized the participants (11, 12, or 13 years [y]). In females, Xc/H increased (13 to 14 y, p = 0.04) while R/H decreased in all age groups (p = 0.001). PhA (11 to 12 y, p = 0.048) and FFM (11 to 12 y and 12 to 13 y groups p = 0.001) increased and showed the lowest magnitude of changes in the 13 to 14 y group (p = 0.05). In males, Xc/H decreased (11 to 12 and 12 to 13 y groups, p = 0.001) with a higher magnitude of changes in the 13 to 14 y group (p = 0.004); R/H decreased (p = 0.001); FFM increased in all groups (p = 0.001); however, no magnitude of changes was observed. PhA increased in the 13 to 14 y group (p = 0.004). BIVA showed no differences among ellipse distances in females. In males, a high distance was observed in the 11 to 12 y group. “Time interval” influenced PhA and Xc/H in the female group and R/H and Xc/H in the male group. “Initial age” and “time interval” influenced the increase in PhA in the male group. Raw BI data and BIVA patterns can detect the magnitude of the changes in a sex-dependent manner.

Funder

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Coordenação de Aperfeiçoamento de Nível Superior—Brasil (CAPES), Finance Code 001

Publisher

MDPI AG

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